The rapid development of digital technologies has changed the way data is collected, stored, and analyzed. Big Data has created new opportunities and challenges for econometric research. This article discusses the integration of econometric methods with big data analysis, the methodological innovations needed, and the results of empirical economic research. The study also highlights modern tools and ideas that help econometricians manage the complexity and scale of large data sets while maintaining model accuracy and interpretability. It also highlights how the combination of traditional econometric thinking and computational methods can improve the quality and scope of economic analysis in the modern digital economy

This article is dedicated to the issues of rapid urban population growth, concentration of population in large and major cities, demographic processes in the expansion of city boundaries, and their development. The formation of existing urban settlements is substantiated as a result of policies aimed at the country's socio-economic development, the scale of natural population growth and migration, particularly the formation of population due to external and internal migration. It is also scientifically justified that demographic development trends in Uzbekistan, as in all countries worldwide, along with other socio-economic processes, have a direct impact on urbanization.